Papers

7

Total Citations

118

H-Index

6

About

Jamie Ng is a pioneering researcher in human-robot interaction (HRI), with a particular focus on the social and methodological dimensions of bringing robots into everyday life. Her work centers on understanding how people perceive and evaluate social robots, especially across different age groups and cultural contexts. Ng’s most influential contribution is her 2014 paper on methodological issues in scenario-based HRI evaluation (41 citations), which established critical frameworks for designing valid user studies. She has also made significant strides in studying attitudes toward home service robots, notably through a multi-generational study in Singapore (23 citations) and a focused investigation of older adults’ needs (13 citations). Her research reveals that people perceive robot personality through appearance (16 citations) and that the media used to present HRI scenarios—text, video, or live interaction—can dramatically shape user evaluations (15 citations). By systematically exploring how social context and presentation format influence human-robot interaction, Ng has helped lay the groundwork for more ecologically valid and culturally sensitive robot design. Her work is essential reading for anyone interested in the intersection of social robotics, aging populations, and user-centered design.

Research Focus

Key Achievements

6
H-Index
7
Papers
118
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Methodological Issues in Scenario-Based Evaluation of Human–Robot Interaction
41 citations · 2014
📈 Most Prolific Year: 2012 (5 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Agency for Science, Technology and Research, Institute for Infocomm Research, A*STAR Graduate Academy

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago